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Examines neural transparency tools that reveal an AI's internal activations and behavior directions via sunburst visualizations to enable anticipatory design and safer, more transparent personal AI companions.

Examines neural transparency as a design-time tool to reveal AI internals and anticipate chatbot behavior in large language model–powered companions, using an intuitive sunburst visualization to help users assess potential risks and build trustworthy AI before interaction begins.

A transformer-based graph-learning upstream representation that unifies users, advertisers, and products into multi-hierarchical embeddings enriched with multimodal world knowledge and Bag-of-Meaning tokens to boost Meta's deep funnel optimization and retrieval across the ads stack.

Hierarchical Interest Representation is a transformer-based, bias-aware graph learning approach that unifies users, advertisers, and products to enhance Meta Ads' deep funnel optimization and related retrieval and ranking capabilities.

Leverages ChatGPT Work to transform account context, customer conversations, and deal signals into ready-to-use sales artifacts—pipeline briefs, meeting prep, forecast reviews, and account plans—accelerating collaboration while preserving seller judgment.

Practical guidance for orchestrating data science workflows with ChatGPT Work to transform dashboards, raw data, and business context into review-ready analysis assets and deliverables.

Practical framework for enterprise AI investments in the agentic era, outlining analytics, governance, and cost-aware deployment to maximize value from AI-enabled workflows.

How ChatGPT Work automates and orchestrates sales workflows by aggregating account context from CRM, notes, and channels into ready-to-use artifacts—prioritized account briefs, meeting packs, forecast reviews, and account plans—empowering sellers and managers to move deals faster while retaining strategic ownership.

A practical guide showing how ChatGPT Work streamlines data science by turning dashboards, metric definitions, exports, and notes into a review-ready deliverable of charts, caveats, and sources for faster validation and sharing.

Five actionable steps to measure AI usage, control spend, and invest in scalable, value-driving workflows in the agentic era, guided by governance, analytics, and careful model selection.

Leverage ChatGPT Work to turn account context from CRM fields, call notes, emails, and signals into ready-to-use sales artifacts—pipeline briefs, meeting packs, forecast reviews, and account plans—accelerating teamwork while sellers retain ownership of strategy.

How data science teams use ChatGPT Work to transform dashboards, raw data, and notes into review-ready analysis assets, delivering charts, caveats, sources, and review questions for faster validation and sharing.